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Qualitative Data Analysis: Research Designs and Practices (RSS2.13) - Confirmed

This course offers guidance for those aiming to integrate their qualitative data work into the influential research designs of comparable case and process tracing. Through tailored use of thematic analysis—a widely accepted method for pattern identification in qualitative data—it emphasizes hands-on mastery of skills such as coding in QDA software, theme development, effective data display, and drawing inferences in case-based research.

Duration: one-week.



    The application deadline has passed, applying is no longer possible

    This course is designed to empower you in integrating qualitative data analysis seamlessly into two prevalent case-based research designs: comparable case and process tracing. The cornerstone of this course's focus lies in thematic analysis, a versatile and widely embraced method used to identify patterns or themes within qualitative data. You tailor this approach specifically to complement comparable case and process tracing analyses. 

    You kick off by exploring thematic analysis on Day 1, emphasizing its adaptability across diverse research designs. 
    Days 2 and 3 zoom in on pattern-based analytical techniques within the comparable case strategy. Here, you delve into employing thematic analysis for both within-case and cross-case insights, refining your skills in code and theme development to extract descriptive and explanatory insights from the data. 
    Days 4 and 5 go deeper into merging pattern-based data analysis with the process tracing approach. You contextualize thematic analysis within within-case explanatory research, covering crucial steps like managing, coding, displaying, and using data for causal inferences in process-tracing studies. Utilizing interactive lectures and exercises with sample data in Nvivo (and other QDA software), you focus on understanding assumptions, refining research goals, and maintaining high-quality standards of data work. This ensures precise alignment of data analysis techniques with comparable case and process tracing designs. 

    Throughout the course, daily tasks and tailored sessions help you integrate these designs into your unique research contexts. Finally, hands-on class assignments and group exercises with real data go beyond just exploring thematic analysis in case-based research. They encourage collaborative problem-solving, enhancing practical understanding within case-based research using thematic analysis.


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    Starting date

    24 June 2024, 9 am
    Educational method
    Main Language
    24 June 2024, 9 am - 28 June 2024, 5 pm
    Anka Kekez
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    Radboud Summer School

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    Anka Kekez

    Anka Kekez 

    Anka Kekez is an assistant professor at the Faculty of Political Science at the University of Zagreb, Croatia where she teaches public policy, public management, and qualitative methodology. She has extensive experience teaching and tutoring qualitative methods and qualitative data analysis (particularly utilizing Nvivo) across diverse educational enviroments. Recently, Anka received MethodsNET Pedagogical Excellence Award as the instructor of the Qualitative Data Analysis course conducted at the 1st Summer School in Social Research Methods held in Nijmegen, the Netherlands, in 2022. Her research focuses on policy implementation, service delivery, public management reforms, policy design, collaborative governance, political meta-governance, and clientelism. Using variety of qualitative data analytic methods, Anka has published papers at the Policy and Society, the Policy Sciences, the Policy Design and Practice or the Journal of Comparative Policy Analysis, among others. In 2019, she co-edited the book "Collaboration in Service Delivery: Promise and Pitfalls" with Michael Howlett and M Ramesh. With 19 years of experience in social development, Anka has been involved in designing and implementing applied policy research. Since 2022, she has served as a co-chair of the Public Policy Study Group of the European Group for Public Administration. Additionally, since 2023, Anka has joined the team of Academic Coordinators of the Methods Excellence Network (MethodsNET).

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    • Regular: €1049 (application deadline 13th of May)
    • Student & PhD's: €699 (application deadline 13th of May)

    Includes: your course, short morning and late afternoon courses, coffee and tea during breaks, a warm lunch every day, Official Opening, MethodsNET Café (including some drinks and snacks) Official Closing (with some drinks and snacks) and a 1-year (2024 calendar year) free membership as MethodsNET regular member.

    Excludes: transport, accommodation, social events and other costs. 

    Discounts and Scholarships


    Level of participant: 

    • Master
    • PhD
    • Postdoc
    • Professional

    Admission requirements: 

    Participants will learn specific ways to integrate qualitative analysis into case-based research designs, aiming for an advanced level of competencies. Familiarity with qualitative case-based methodologies is recommended to maximize the course's benefits. The program includes hands-on exercises using sample data in NVivo software provided by the instructor. While these exercises cover basic and some advanced NVivo functionalities, prior exposure to NVivo is advisable. A 14-day free trial version will be utilized, eliminating the need for software purchase. Additionally, participants using other QDAS tools like ATLAS.ti and MAXQDA can also follow and engage in exercises using their respective software.

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